Data Scientist MCQs

1. In generalized linear models, how many components are present?

(A) 2

(B) 4

(C) 6

(D) None of these

2. Which of the following is the wrong statement?

(A) In the linear model, transformations are easy to interpret

(B) If the response is strictly positive or discrete, additive response models do not make sense

(C) From one or more variables, the regression model is used to predict one variable

(D) All of these

3. Use of Poisson distribution, what is the example?

(A) Analyzing contingency table data

(B) Incidence rates

(C) Modeling web traffic hits

(D) All of these

4. With the Bernoulli trial, how many outcomes are possible?

(A) 1

(B) 2

(C) 3

(D) None of these

5. For estimating the relationships between variables, which analysis is a statistical process?

(A) Causal

(B) Multivariate

(C) Regression

(D) All of these

6. Which of the following is the wrong statement?

(A) At knot points, adding squared terms make it twice continuously differentiable

(B) At knot points, adding squared terms make it continuously differentiable

(C) For the inference, asymptotics are usually used

(D) None of these

7. In the generalized linear models, which component is involved?

(A) For response, an exponential family model

(B) Link function that connects means of response to the linear predictor

(C) Via linear predictor, a systematic component

(D) All of these

8. Which of the following outcomes are for the same covariate data collection of exchangeable binary outcomes?

(A) Random

(B) Binomial

(C) Direct

(D) None of these